Overview

Dataset statistics

Number of variables24
Number of observations195
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.7 KiB
Average record size in memory192.7 B

Variable types

Text1
Numeric22
Categorical1

Alerts

D2 is highly overall correlated with NHRHigh correlation
HNR is highly overall correlated with Jitter:DDP and 14 other fieldsHigh correlation
Jitter:DDP is highly overall correlated with HNR and 13 other fieldsHigh correlation
MDVP:APQ is highly overall correlated with HNR and 15 other fieldsHigh correlation
MDVP:Fhi(Hz) is highly overall correlated with MDVP:Fo(Hz)High correlation
MDVP:Flo(Hz) is highly overall correlated with statusHigh correlation
MDVP:Fo(Hz) is highly overall correlated with MDVP:Fhi(Hz) and 2 other fieldsHigh correlation
MDVP:Jitter(%) is highly overall correlated with HNR and 13 other fieldsHigh correlation
MDVP:Jitter(Abs) is highly overall correlated with HNR and 15 other fieldsHigh correlation
MDVP:PPQ is highly overall correlated with HNR and 13 other fieldsHigh correlation
MDVP:RAP is highly overall correlated with HNR and 13 other fieldsHigh correlation
MDVP:Shimmer is highly overall correlated with HNR and 14 other fieldsHigh correlation
MDVP:Shimmer(dB) is highly overall correlated with HNR and 14 other fieldsHigh correlation
NHR is highly overall correlated with D2 and 15 other fieldsHigh correlation
PPE is highly overall correlated with HNR and 16 other fieldsHigh correlation
RPDE is highly overall correlated with HNR and 10 other fieldsHigh correlation
Shimmer:APQ3 is highly overall correlated with HNR and 14 other fieldsHigh correlation
Shimmer:APQ5 is highly overall correlated with HNR and 14 other fieldsHigh correlation
Shimmer:DDA is highly overall correlated with HNR and 14 other fieldsHigh correlation
spread1 is highly overall correlated with HNR and 16 other fieldsHigh correlation
spread2 is highly overall correlated with MDVP:APQ and 2 other fieldsHigh correlation
status is highly overall correlated with MDVP:Flo(Hz) and 3 other fieldsHigh correlation
name has unique valuesUnique
MDVP:Fo(Hz) has unique valuesUnique
MDVP:Fhi(Hz) has unique valuesUnique
MDVP:Flo(Hz) has unique valuesUnique
HNR has unique valuesUnique
RPDE has unique valuesUnique
DFA has unique valuesUnique
spread1 has unique valuesUnique
D2 has unique valuesUnique
PPE has unique valuesUnique

Reproduction

Analysis started2024-03-25 10:04:58.931793
Analysis finished2024-03-25 10:06:00.427242
Duration1 minute and 1.5 second
Software versionydata-profiling vv4.7.0
Download configurationconfig.json

Variables

name
Text

UNIQUE 

Distinct195
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-03-25T15:36:00.669199image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters2730
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique195 ?
Unique (%)100.0%

Sample

1st rowphon_R01_S01_1
2nd rowphon_R01_S01_2
3rd rowphon_R01_S01_3
4th rowphon_R01_S01_4
5th rowphon_R01_S01_5
ValueCountFrequency (%)
phon_r01_s01_1 1
 
0.5%
phon_r01_s13_2 1
 
0.5%
phon_r01_s02_6 1
 
0.5%
phon_r01_s01_3 1
 
0.5%
phon_r01_s01_4 1
 
0.5%
phon_r01_s01_5 1
 
0.5%
phon_r01_s01_6 1
 
0.5%
phon_r01_s02_1 1
 
0.5%
phon_r01_s02_2 1
 
0.5%
phon_r01_s02_3 1
 
0.5%
Other values (185) 185
94.9%
2024-03-25T15:36:01.091180image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 585
21.4%
1 282
10.3%
0 255
9.3%
p 195
 
7.1%
h 195
 
7.1%
S 195
 
7.1%
R 195
 
7.1%
n 195
 
7.1%
o 195
 
7.1%
2 100
 
3.7%
Other values (7) 338
12.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 975
35.7%
Lowercase Letter 780
28.6%
Connector Punctuation 585
21.4%
Uppercase Letter 390
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 282
28.9%
0 255
26.2%
2 100
 
10.3%
3 93
 
9.5%
4 80
 
8.2%
5 57
 
5.8%
6 50
 
5.1%
7 28
 
2.9%
9 18
 
1.8%
8 12
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
p 195
25.0%
h 195
25.0%
n 195
25.0%
o 195
25.0%
Uppercase Letter
ValueCountFrequency (%)
S 195
50.0%
R 195
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 585
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1560
57.1%
Latin 1170
42.9%

Most frequent character per script

Common
ValueCountFrequency (%)
_ 585
37.5%
1 282
18.1%
0 255
16.3%
2 100
 
6.4%
3 93
 
6.0%
4 80
 
5.1%
5 57
 
3.7%
6 50
 
3.2%
7 28
 
1.8%
9 18
 
1.2%
Latin
ValueCountFrequency (%)
p 195
16.7%
h 195
16.7%
S 195
16.7%
R 195
16.7%
n 195
16.7%
o 195
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2730
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 585
21.4%
1 282
10.3%
0 255
9.3%
p 195
 
7.1%
h 195
 
7.1%
S 195
 
7.1%
R 195
 
7.1%
n 195
 
7.1%
o 195
 
7.1%
2 100
 
3.7%
Other values (7) 338
12.4%

MDVP:Fo(Hz)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct195
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.22864
Minimum88.333
Maximum260.105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-25T15:36:01.313784image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum88.333
5-th percentile101.8791
Q1117.572
median148.79
Q3182.769
95-th percentile236.5078
Maximum260.105
Range171.772
Interquartile range (IQR)65.197

Descriptive statistics

Standard deviation41.390065
Coefficient of variation (CV)0.26836821
Kurtosis-0.62789811
Mean154.22864
Median Absolute Deviation (MAD)31.786
Skewness0.59173746
Sum30074.585
Variance1713.1375
MonotonicityNot monotonic
2024-03-25T15:36:01.547295image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
119.992 1
 
0.5%
169.774 1
 
0.5%
156.239 1
 
0.5%
145.174 1
 
0.5%
138.145 1
 
0.5%
166.888 1
 
0.5%
119.031 1
 
0.5%
120.078 1
 
0.5%
120.289 1
 
0.5%
120.256 1
 
0.5%
Other values (185) 185
94.9%
ValueCountFrequency (%)
88.333 1
0.5%
91.904 1
0.5%
95.056 1
0.5%
95.385 1
0.5%
95.605 1
0.5%
95.73 1
0.5%
96.106 1
0.5%
98.804 1
0.5%
100.77 1
0.5%
100.96 1
0.5%
ValueCountFrequency (%)
260.105 1
0.5%
252.455 1
0.5%
245.51 1
0.5%
244.99 1
0.5%
243.439 1
0.5%
242.852 1
0.5%
241.404 1
0.5%
240.301 1
0.5%
237.323 1
0.5%
237.226 1
0.5%

MDVP:Fhi(Hz)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct195
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean197.10492
Minimum102.145
Maximum592.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-25T15:36:01.799459image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum102.145
5-th percentile115.8188
Q1134.8625
median175.829
Q3224.2055
95-th percentile410.6398
Maximum592.03
Range489.885
Interquartile range (IQR)89.343

Descriptive statistics

Standard deviation91.491548
Coefficient of variation (CV)0.46417689
Kurtosis7.6272412
Mean197.10492
Median Absolute Deviation (MAD)42.485
Skewness2.542146
Sum38435.459
Variance8370.7033
MonotonicityNot monotonic
2024-03-25T15:36:02.041181image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
157.302 1
 
0.5%
191.759 1
 
0.5%
195.107 1
 
0.5%
198.109 1
 
0.5%
197.238 1
 
0.5%
198.966 1
 
0.5%
127.533 1
 
0.5%
126.632 1
 
0.5%
128.143 1
 
0.5%
125.306 1
 
0.5%
Other values (185) 185
94.9%
ValueCountFrequency (%)
102.145 1
0.5%
102.305 1
0.5%
107.715 1
0.5%
108.664 1
0.5%
110.019 1
0.5%
112.24 1
0.5%
112.777 1
0.5%
113.597 1
0.5%
113.84 1
0.5%
115.697 1
0.5%
ValueCountFrequency (%)
592.03 1
0.5%
588.518 1
0.5%
586.567 1
0.5%
581.289 1
0.5%
565.74 1
0.5%
492.892 1
0.5%
479.697 1
0.5%
450.247 1
0.5%
442.824 1
0.5%
442.557 1
0.5%

MDVP:Flo(Hz)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct195
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.32463
Minimum65.476
Maximum239.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-25T15:36:02.286998image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum65.476
5-th percentile68.9464
Q184.291
median104.315
Q3140.0185
95-th percentile220.1949
Maximum239.17
Range173.694
Interquartile range (IQR)55.7275

Descriptive statistics

Standard deviation43.521413
Coefficient of variation (CV)0.37413756
Kurtosis0.65461452
Mean116.32463
Median Absolute Deviation (MAD)23.678
Skewness1.2173504
Sum22683.303
Variance1894.1134
MonotonicityNot monotonic
2024-03-25T15:36:02.502076image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74.997 1
 
0.5%
151.451 1
 
0.5%
79.82 1
 
0.5%
80.637 1
 
0.5%
81.114 1
 
0.5%
79.512 1
 
0.5%
109.216 1
 
0.5%
105.667 1
 
0.5%
100.209 1
 
0.5%
104.773 1
 
0.5%
Other values (185) 185
94.9%
ValueCountFrequency (%)
65.476 1
0.5%
65.75 1
0.5%
65.782 1
0.5%
65.809 1
0.5%
66.004 1
0.5%
66.157 1
0.5%
67.021 1
0.5%
67.343 1
0.5%
68.401 1
0.5%
68.623 1
0.5%
ValueCountFrequency (%)
239.17 1
0.5%
237.303 1
0.5%
232.483 1
0.5%
232.435 1
0.5%
231.848 1
0.5%
229.256 1
0.5%
227.911 1
0.5%
225.227 1
0.5%
223.634 1
0.5%
221.156 1
0.5%

MDVP:Jitter(%)
Real number (ℝ)

HIGH CORRELATION 

Distinct173
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0062204615
Minimum0.00168
Maximum0.03316
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-25T15:36:02.695307image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.00168
5-th percentile0.002211
Q10.00346
median0.00494
Q30.007365
95-th percentile0.015561
Maximum0.03316
Range0.03148
Interquartile range (IQR)0.003905

Descriptive statistics

Standard deviation0.0048481337
Coefficient of variation (CV)0.77938488
Kurtosis12.030939
Mean0.0062204615
Median Absolute Deviation (MAD)0.0018
Skewness3.0849462
Sum1.21299
Variance2.35044 × 10-5
MonotonicityNot monotonic
2024-03-25T15:36:02.890790image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.00694 3
 
1.5%
0.00742 3
 
1.5%
0.00369 3
 
1.5%
0.00784 2
 
1.0%
0.00314 2
 
1.0%
0.00448 2
 
1.0%
0.00451 2
 
1.0%
0.00346 2
 
1.0%
0.00258 2
 
1.0%
0.00298 2
 
1.0%
Other values (163) 172
88.2%
ValueCountFrequency (%)
0.00168 1
0.5%
0.00174 1
0.5%
0.00178 1
0.5%
0.0018 1
0.5%
0.00183 1
0.5%
0.00185 1
0.5%
0.00198 1
0.5%
0.00205 1
0.5%
0.0021 1
0.5%
0.00212 1
0.5%
ValueCountFrequency (%)
0.03316 1
0.5%
0.03107 1
0.5%
0.03011 1
0.5%
0.02714 1
0.5%
0.01936 1
0.5%
0.01872 1
0.5%
0.01813 1
0.5%
0.01719 1
0.5%
0.01627 1
0.5%
0.01568 1
0.5%

MDVP:Jitter(Abs)
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3958974 × 10-5
Minimum7 × 10-6
Maximum0.00026
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-25T15:36:03.073655image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum7 × 10-6
5-th percentile1 × 10-5
Q12 × 10-5
median3 × 10-5
Q36 × 10-5
95-th percentile0.0001
Maximum0.00026
Range0.000253
Interquartile range (IQR)4 × 10-5

Descriptive statistics

Standard deviation3.4821909 × 10-5
Coefficient of variation (CV)0.79214561
Kurtosis10.869043
Mean4.3958974 × 10-5
Median Absolute Deviation (MAD)1 × 10-5
Skewness2.6490714
Sum0.008572
Variance1.2125653 × 10-9
MonotonicityNot monotonic
2024-03-25T15:36:03.237354image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
3 × 10-546
23.6%
4 × 10-528
14.4%
2 × 10-528
14.4%
1 × 10-520
10.3%
5 × 10-517
 
8.7%
6 × 10-516
 
8.2%
8 × 10-59
 
4.6%
7 × 10-58
 
4.1%
9 × 10-55
 
2.6%
9 × 10-65
 
2.6%
Other values (9) 13
 
6.7%
ValueCountFrequency (%)
7 × 10-61
 
0.5%
9 × 10-65
 
2.6%
1 × 10-520
10.3%
2 × 10-528
14.4%
3 × 10-546
23.6%
4 × 10-528
14.4%
5 × 10-517
 
8.7%
6 × 10-516
 
8.2%
7 × 10-58
 
4.1%
8 × 10-59
 
4.6%
ValueCountFrequency (%)
0.00026 1
 
0.5%
0.00022 1
 
0.5%
0.00016 1
 
0.5%
0.00015 2
 
1.0%
0.00014 1
 
0.5%
0.00012 1
 
0.5%
0.00011 2
 
1.0%
0.0001 3
 
1.5%
9 × 10-55
2.6%
8 × 10-59
4.6%

MDVP:RAP
Real number (ℝ)

HIGH CORRELATION 

Distinct155
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0033064103
Minimum0.00068
Maximum0.02144
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-25T15:36:03.419443image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.00068
5-th percentile0.001118
Q10.00166
median0.0025
Q30.003835
95-th percentile0.008756
Maximum0.02144
Range0.02076
Interquartile range (IQR)0.002175

Descriptive statistics

Standard deviation0.0029677744
Coefficient of variation (CV)0.89758203
Kurtosis14.213798
Mean0.0033064103
Median Absolute Deviation (MAD)0.00098
Skewness3.3607085
Sum0.64475
Variance8.807685 × 10-6
MonotonicityNot monotonic
2024-03-25T15:36:03.623752image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.00169 5
 
2.6%
0.00134 3
 
1.5%
0.00428 3
 
1.5%
0.0025 3
 
1.5%
0.00157 3
 
1.5%
0.00165 3
 
1.5%
0.0037 2
 
1.0%
0.00244 2
 
1.0%
0.00316 2
 
1.0%
0.00331 2
 
1.0%
Other values (145) 167
85.6%
ValueCountFrequency (%)
0.00068 1
0.5%
0.00075 1
0.5%
0.00076 1
0.5%
0.00092 1
0.5%
0.00093 1
0.5%
0.00094 1
0.5%
0.001 1
0.5%
0.00105 2
1.0%
0.00109 1
0.5%
0.00113 1
0.5%
ValueCountFrequency (%)
0.02144 1
0.5%
0.01854 1
0.5%
0.018 1
0.5%
0.01568 1
0.5%
0.01159 1
0.5%
0.01117 1
0.5%
0.01075 1
0.5%
0.00996 1
0.5%
0.00919 1
0.5%
0.00905 1
0.5%

MDVP:PPQ
Real number (ℝ)

HIGH CORRELATION 

Distinct165
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003446359
Minimum0.00092
Maximum0.01958
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-25T15:36:03.808828image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.00092
5-th percentile0.001315
Q10.00186
median0.00269
Q30.003955
95-th percentile0.009083
Maximum0.01958
Range0.01866
Interquartile range (IQR)0.002095

Descriptive statistics

Standard deviation0.0027589766
Coefficient of variation (CV)0.80054825
Kurtosis11.963922
Mean0.003446359
Median Absolute Deviation (MAD)0.00094
Skewness3.0738925
Sum0.67204
Variance7.6119521 × 10-6
MonotonicityNot monotonic
2024-03-25T15:36:04.028119image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.00332 4
 
2.1%
0.00283 3
 
1.5%
0.00203 3
 
1.5%
0.00182 3
 
1.5%
0.00113 2
 
1.0%
0.00194 2
 
1.0%
0.00192 2
 
1.0%
0.00312 2
 
1.0%
0.00258 2
 
1.0%
0.0039 2
 
1.0%
Other values (155) 170
87.2%
ValueCountFrequency (%)
0.00092 1
0.5%
0.00096 1
0.5%
0.001 1
0.5%
0.00106 1
0.5%
0.00107 1
0.5%
0.00113 2
1.0%
0.00115 1
0.5%
0.00122 1
0.5%
0.00128 1
0.5%
0.00133 1
0.5%
ValueCountFrequency (%)
0.01958 1
0.5%
0.01699 1
0.5%
0.01628 1
0.5%
0.01522 1
0.5%
0.01154 1
0.5%
0.01027 1
0.5%
0.0099 1
0.5%
0.00963 1
0.5%
0.00946 1
0.5%
0.00909 1
0.5%

Jitter:DDP
Real number (ℝ)

HIGH CORRELATION 

Distinct180
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0099199487
Minimum0.00204
Maximum0.06433
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-25T15:36:04.234457image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.00204
5-th percentile0.003354
Q10.004985
median0.00749
Q30.011505
95-th percentile0.026271
Maximum0.06433
Range0.06229
Interquartile range (IQR)0.00652

Descriptive statistics

Standard deviation0.0089033444
Coefficient of variation (CV)0.89751919
Kurtosis14.224762
Mean0.0099199487
Median Absolute Deviation (MAD)0.00293
Skewness3.3620584
Sum1.93439
Variance7.9269541 × 10-5
MonotonicityNot monotonic
2024-03-25T15:36:04.435641image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.00507 3
 
1.5%
0.01109 2
 
1.0%
0.0078 2
 
1.0%
0.0075 2
 
1.0%
0.00731 2
 
1.0%
0.00994 2
 
1.0%
0.00696 2
 
1.0%
0.01285 2
 
1.0%
0.00616 2
 
1.0%
0.00496 2
 
1.0%
Other values (170) 174
89.2%
ValueCountFrequency (%)
0.00204 1
0.5%
0.00225 1
0.5%
0.00229 1
0.5%
0.00276 1
0.5%
0.00278 1
0.5%
0.00283 1
0.5%
0.00301 1
0.5%
0.00314 1
0.5%
0.00315 1
0.5%
0.00327 1
0.5%
ValueCountFrequency (%)
0.06433 1
0.5%
0.05563 1
0.5%
0.05401 1
0.5%
0.04705 1
0.5%
0.03476 1
0.5%
0.03351 1
0.5%
0.03225 1
0.5%
0.02987 1
0.5%
0.02756 1
0.5%
0.02716 1
0.5%

MDVP:Shimmer
Real number (ℝ)

HIGH CORRELATION 

Distinct188
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.029709128
Minimum0.00954
Maximum0.11908
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-25T15:36:04.632145image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.00954
5-th percentile0.011211
Q10.016505
median0.02297
Q30.037885
95-th percentile0.067256
Maximum0.11908
Range0.10954
Interquartile range (IQR)0.02138

Descriptive statistics

Standard deviation0.018856932
Coefficient of variation (CV)0.63471845
Kurtosis3.2383081
Mean0.029709128
Median Absolute Deviation (MAD)0.00839
Skewness1.6664804
Sum5.79328
Variance0.00035558388
MonotonicityNot monotonic
2024-03-25T15:36:04.822223image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.02448 2
 
1.0%
0.03273 2
 
1.0%
0.01608 2
 
1.0%
0.01725 2
 
1.0%
0.02293 2
 
1.0%
0.0145 2
 
1.0%
0.01503 2
 
1.0%
0.01412 1
 
0.5%
0.04479 1
 
0.5%
0.02503 1
 
0.5%
Other values (178) 178
91.3%
ValueCountFrequency (%)
0.00954 1
0.5%
0.00958 1
0.5%
0.01015 1
0.5%
0.01022 1
0.5%
0.01024 1
0.5%
0.0103 1
0.5%
0.01033 1
0.5%
0.01043 1
0.5%
0.01064 1
0.5%
0.01098 1
0.5%
ValueCountFrequency (%)
0.11908 1
0.5%
0.09419 1
0.5%
0.09178 1
0.5%
0.08684 1
0.5%
0.08143 1
0.5%
0.07959 1
0.5%
0.0717 1
0.5%
0.07118 1
0.5%
0.06734 1
0.5%
0.06727 1
0.5%

MDVP:Shimmer(dB)
Real number (ℝ)

HIGH CORRELATION 

Distinct149
Distinct (%)76.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.28225128
Minimum0.085
Maximum1.302
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-25T15:36:05.009905image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.085
5-th percentile0.1018
Q10.1485
median0.221
Q30.35
95-th percentile0.6527
Maximum1.302
Range1.217
Interquartile range (IQR)0.2015

Descriptive statistics

Standard deviation0.19487729
Coefficient of variation (CV)0.69043899
Kurtosis5.1281925
Mean0.28225128
Median Absolute Deviation (MAD)0.086
Skewness1.9993886
Sum55.039
Variance0.037977158
MonotonicityNot monotonic
2024-03-25T15:36:05.197584image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.154 5
 
2.6%
0.197 4
 
2.1%
0.155 3
 
1.5%
0.126 3
 
1.5%
0.129 3
 
1.5%
0.145 3
 
1.5%
0.307 3
 
1.5%
0.255 3
 
1.5%
0.085 2
 
1.0%
0.107 2
 
1.0%
Other values (139) 164
84.1%
ValueCountFrequency (%)
0.085 2
1.0%
0.089 1
0.5%
0.09 1
0.5%
0.093 1
0.5%
0.094 1
0.5%
0.097 2
1.0%
0.098 1
0.5%
0.099 1
0.5%
0.103 1
0.5%
0.106 2
1.0%
ValueCountFrequency (%)
1.302 1
0.5%
1.018 1
0.5%
0.93 1
0.5%
0.891 1
0.5%
0.833 1
0.5%
0.821 1
0.5%
0.784 1
0.5%
0.772 1
0.5%
0.722 1
0.5%
0.659 1
0.5%

Shimmer:APQ3
Real number (ℝ)

HIGH CORRELATION 

Distinct184
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.015664154
Minimum0.00455
Maximum0.05647
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-25T15:36:05.387668image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.00455
5-th percentile0.005368
Q10.008245
median0.01279
Q30.020265
95-th percentile0.036227
Maximum0.05647
Range0.05192
Interquartile range (IQR)0.01202

Descriptive statistics

Standard deviation0.010153162
Coefficient of variation (CV)0.64817811
Kurtosis2.7201516
Mean0.015664154
Median Absolute Deviation (MAD)0.0051
Skewness1.5805764
Sum3.05451
Variance0.00010308669
MonotonicityNot monotonic
2024-03-25T15:36:05.582815image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01441 2
 
1.0%
0.00829 2
 
1.0%
0.01277 2
 
1.0%
0.01484 2
 
1.0%
0.00728 2
 
1.0%
0.00469 2
 
1.0%
0.01579 2
 
1.0%
0.00633 2
 
1.0%
0.01284 2
 
1.0%
0.00522 2
 
1.0%
Other values (174) 175
89.7%
ValueCountFrequency (%)
0.00455 1
0.5%
0.00468 1
0.5%
0.00469 2
1.0%
0.00476 1
0.5%
0.0049 1
0.5%
0.00504 1
0.5%
0.00522 2
1.0%
0.00534 1
0.5%
0.00538 1
0.5%
0.00557 1
0.5%
ValueCountFrequency (%)
0.05647 1
0.5%
0.05551 1
0.5%
0.05358 1
0.5%
0.04421 1
0.5%
0.04284 1
0.5%
0.04016 1
0.5%
0.03804 1
0.5%
0.03788 1
0.5%
0.03671 1
0.5%
0.0365 1
0.5%

Shimmer:APQ5
Real number (ℝ)

HIGH CORRELATION 

Distinct189
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.017878256
Minimum0.0057
Maximum0.0794
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-25T15:36:05.773915image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.0057
5-th percentile0.006383
Q10.00958
median0.01347
Q30.02238
95-th percentile0.042701
Maximum0.0794
Range0.0737
Interquartile range (IQR)0.0128

Descriptive statistics

Standard deviation0.012023706
Coefficient of variation (CV)0.67253234
Kurtosis3.8742097
Mean0.017878256
Median Absolute Deviation (MAD)0.00468
Skewness1.7986971
Sum3.48626
Variance0.00014456949
MonotonicityNot monotonic
2024-03-25T15:36:05.974382image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01219 2
 
1.0%
0.01024 2
 
1.0%
0.00747 2
 
1.0%
0.00972 2
 
1.0%
0.0116 2
 
1.0%
0.01144 2
 
1.0%
0.00621 1
 
0.5%
0.01805 1
 
0.5%
0.01859 1
 
0.5%
0.0057 1
 
0.5%
Other values (179) 179
91.8%
ValueCountFrequency (%)
0.0057 1
0.5%
0.00576 1
0.5%
0.00582 1
0.5%
0.00588 1
0.5%
0.00606 1
0.5%
0.0061 1
0.5%
0.00621 1
0.5%
0.0063 1
0.5%
0.00631 1
0.5%
0.00632 1
0.5%
ValueCountFrequency (%)
0.0794 1
0.5%
0.05556 1
0.5%
0.05426 1
0.5%
0.05005 1
0.5%
0.04962 1
0.5%
0.04825 1
0.5%
0.04791 1
0.5%
0.0458 1
0.5%
0.04518 1
0.5%
0.04282 1
0.5%

MDVP:APQ
Real number (ℝ)

HIGH CORRELATION 

Distinct189
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.024081487
Minimum0.00719
Maximum0.13778
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-25T15:36:06.173050image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.00719
5-th percentile0.009114
Q10.01308
median0.01826
Q30.0294
95-th percentile0.057718
Maximum0.13778
Range0.13059
Interquartile range (IQR)0.01632

Descriptive statistics

Standard deviation0.016946736
Coefficient of variation (CV)0.70372465
Kurtosis11.163288
Mean0.024081487
Median Absolute Deviation (MAD)0.00636
Skewness2.6180465
Sum4.69589
Variance0.00028719187
MonotonicityNot monotonic
2024-03-25T15:36:06.381636image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01234 2
 
1.0%
0.03772 2
 
1.0%
0.00903 2
 
1.0%
0.01491 2
 
1.0%
0.01133 2
 
1.0%
0.0114 2
 
1.0%
0.03316 1
 
0.5%
0.02259 1
 
0.5%
0.02301 1
 
0.5%
0.00811 1
 
0.5%
Other values (179) 179
91.8%
ValueCountFrequency (%)
0.00719 1
0.5%
0.00726 1
0.5%
0.00762 1
0.5%
0.00802 1
0.5%
0.00811 1
0.5%
0.0086 1
0.5%
0.00871 1
0.5%
0.00882 1
0.5%
0.00903 2
1.0%
0.00915 1
0.5%
ValueCountFrequency (%)
0.13778 1
0.5%
0.08808 1
0.5%
0.08318 1
0.5%
0.06824 1
0.5%
0.0646 1
0.5%
0.06359 1
0.5%
0.06259 1
0.5%
0.06196 1
0.5%
0.06023 1
0.5%
0.05783 1
0.5%

Shimmer:DDA
Real number (ℝ)

HIGH CORRELATION 

Distinct189
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.046992615
Minimum0.01364
Maximum0.16942
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-25T15:36:06.535447image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.01364
5-th percentile0.016107
Q10.024735
median0.03836
Q30.060795
95-th percentile0.108678
Maximum0.16942
Range0.15578
Interquartile range (IQR)0.03606

Descriptive statistics

Standard deviation0.030459119
Coefficient of variation (CV)0.64816821
Kurtosis2.7206613
Mean0.046992615
Median Absolute Deviation (MAD)0.01529
Skewness1.580618
Sum9.16356
Variance0.00092775796
MonotonicityNot monotonic
2024-03-25T15:36:06.653521image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.02184 2
 
1.0%
0.04451 2
 
1.0%
0.01567 2
 
1.0%
0.04736 2
 
1.0%
0.01898 2
 
1.0%
0.03831 2
 
1.0%
0.01471 1
 
0.5%
0.03867 1
 
0.5%
0.03706 1
 
0.5%
0.04641 1
 
0.5%
Other values (179) 179
91.8%
ValueCountFrequency (%)
0.01364 1
0.5%
0.01403 1
0.5%
0.01406 1
0.5%
0.01407 1
0.5%
0.01428 1
0.5%
0.01471 1
0.5%
0.01513 1
0.5%
0.01567 2
1.0%
0.01603 1
0.5%
0.01614 1
0.5%
ValueCountFrequency (%)
0.16942 1
0.5%
0.16654 1
0.5%
0.16074 1
0.5%
0.13262 1
0.5%
0.12851 1
0.5%
0.12047 1
0.5%
0.11411 1
0.5%
0.11363 1
0.5%
0.11012 1
0.5%
0.10949 1
0.5%

NHR
Real number (ℝ)

HIGH CORRELATION 

Distinct185
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.024847077
Minimum0.00065
Maximum0.31482
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-25T15:36:06.774942image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.00065
5-th percentile0.002528
Q10.005925
median0.01166
Q30.02564
95-th percentile0.092044
Maximum0.31482
Range0.31417
Interquartile range (IQR)0.019715

Descriptive statistics

Standard deviation0.040418449
Coefficient of variation (CV)1.6266883
Kurtosis21.994974
Mean0.024847077
Median Absolute Deviation (MAD)0.0069
Skewness4.2207091
Sum4.84518
Variance0.001633651
MonotonicityNot monotonic
2024-03-25T15:36:06.897967image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.07223 2
 
1.0%
0.00476 2
 
1.0%
0.00839 2
 
1.0%
0.00231 2
 
1.0%
0.0062 2
 
1.0%
0.0042 2
 
1.0%
0.0034 2
 
1.0%
0.00681 2
 
1.0%
0.00479 2
 
1.0%
0.01049 2
 
1.0%
Other values (175) 175
89.7%
ValueCountFrequency (%)
0.00065 1
0.5%
0.00072 1
0.5%
0.00119 1
0.5%
0.00135 1
0.5%
0.00167 1
0.5%
0.00231 2
1.0%
0.00233 1
0.5%
0.00238 1
0.5%
0.00243 1
0.5%
0.00257 1
0.5%
ValueCountFrequency (%)
0.31482 1
0.5%
0.2593 1
0.5%
0.21713 1
0.5%
0.16744 1
0.5%
0.16265 1
0.5%
0.11843 1
0.5%
0.10952 1
0.5%
0.10748 1
0.5%
0.10715 1
0.5%
0.10323 1
0.5%

HNR
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct195
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.885974
Minimum8.441
Maximum33.047
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-25T15:36:07.016382image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum8.441
5-th percentile13.4838
Q119.198
median22.085
Q325.0755
95-th percentile26.9742
Maximum33.047
Range24.606
Interquartile range (IQR)5.8775

Descriptive statistics

Standard deviation4.4257643
Coefficient of variation (CV)0.2022192
Kurtosis0.61603583
Mean21.885974
Median Absolute Deviation (MAD)2.945
Skewness-0.5143175
Sum4267.765
Variance19.587389
MonotonicityNot monotonic
2024-03-25T15:36:07.139072image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.033 1
 
0.5%
12.359 1
 
0.5%
19.196 1
 
0.5%
18.857 1
 
0.5%
18.178 1
 
0.5%
18.33 1
 
0.5%
26.842 1
 
0.5%
26.369 1
 
0.5%
23.949 1
 
0.5%
26.017 1
 
0.5%
Other values (185) 185
94.9%
ValueCountFrequency (%)
8.441 1
0.5%
8.867 1
0.5%
9.449 1
0.5%
10.489 1
0.5%
11.744 1
0.5%
11.866 1
0.5%
12.298 1
0.5%
12.359 1
0.5%
12.435 1
0.5%
12.529 1
0.5%
ValueCountFrequency (%)
33.047 1
0.5%
32.684 1
0.5%
31.732 1
0.5%
30.94 1
0.5%
30.775 1
0.5%
29.928 1
0.5%
29.746 1
0.5%
28.409 1
0.5%
27.421 1
0.5%
27.166 1
0.5%

status
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
1
147 
0
48 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters195
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 147
75.4%
0 48
 
24.6%

Length

2024-03-25T15:36:07.245158image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-25T15:36:07.339021image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
ValueCountFrequency (%)
1 147
75.4%
0 48
 
24.6%

Most occurring characters

ValueCountFrequency (%)
1 147
75.4%
0 48
 
24.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 195
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 147
75.4%
0 48
 
24.6%

Most occurring scripts

ValueCountFrequency (%)
Common 195
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 147
75.4%
0 48
 
24.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 195
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 147
75.4%
0 48
 
24.6%

RPDE
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct195
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.49853554
Minimum0.25657
Maximum0.685151
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-25T15:36:07.442339image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.25657
5-th percentile0.3309287
Q10.421306
median0.495954
Q30.5875625
95-th percentile0.6532203
Maximum0.685151
Range0.428581
Interquartile range (IQR)0.1662565

Descriptive statistics

Standard deviation0.10394171
Coefficient of variation (CV)0.20849409
Kurtosis-0.92178098
Mean0.49853554
Median Absolute Deviation (MAD)0.082659
Skewness-0.14340241
Sum97.21443
Variance0.01080388
MonotonicityNot monotonic
2024-03-25T15:36:07.557591image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.414783 1
 
0.5%
0.56161 1
 
0.5%
0.618663 1
 
0.5%
0.637518 1
 
0.5%
0.623209 1
 
0.5%
0.585169 1
 
0.5%
0.457541 1
 
0.5%
0.491345 1
 
0.5%
0.46716 1
 
0.5%
0.468621 1
 
0.5%
Other values (185) 185
94.9%
ValueCountFrequency (%)
0.25657 1
0.5%
0.263654 1
0.5%
0.27685 1
0.5%
0.296888 1
0.5%
0.305062 1
0.5%
0.305429 1
0.5%
0.306443 1
0.5%
0.311369 1
0.5%
0.32648 1
0.5%
0.329577 1
0.5%
ValueCountFrequency (%)
0.685151 1
0.5%
0.677131 1
0.5%
0.671378 1
0.5%
0.671299 1
0.5%
0.665318 1
0.5%
0.663842 1
0.5%
0.660125 1
0.5%
0.654945 1
0.5%
0.653427 1
0.5%
0.65341 1
0.5%

DFA
Real number (ℝ)

UNIQUE 

Distinct195
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.71809905
Minimum0.574282
Maximum0.825288
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-25T15:36:07.675981image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.574282
5-th percentile0.6323376
Q10.6747575
median0.722254
Q30.7618815
95-th percentile0.8160376
Maximum0.825288
Range0.251006
Interquartile range (IQR)0.087124

Descriptive statistics

Standard deviation0.05533583
Coefficient of variation (CV)0.077058772
Kurtosis-0.68615185
Mean0.71809905
Median Absolute Deviation (MAD)0.043369
Skewness-0.033213661
Sum140.02931
Variance0.0030620541
MonotonicityNot monotonic
2024-03-25T15:36:09.043087image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.815285 1
 
0.5%
0.793509 1
 
0.5%
0.728421 1
 
0.5%
0.735546 1
 
0.5%
0.738245 1
 
0.5%
0.736964 1
 
0.5%
0.699787 1
 
0.5%
0.718839 1
 
0.5%
0.724045 1
 
0.5%
0.735136 1
 
0.5%
Other values (185) 185
94.9%
ValueCountFrequency (%)
0.574282 1
0.5%
0.58271 1
0.5%
0.605417 1
0.5%
0.623731 1
0.5%
0.62671 1
0.5%
0.627337 1
0.5%
0.628058 1
0.5%
0.628232 1
0.5%
0.630409 1
0.5%
0.631653 1
0.5%
ValueCountFrequency (%)
0.825288 1
0.5%
0.825069 1
0.5%
0.823484 1
0.5%
0.821364 1
0.5%
0.819521 1
0.5%
0.819235 1
0.5%
0.819032 1
0.5%
0.817756 1
0.5%
0.817396 1
0.5%
0.81634 1
0.5%

spread1
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct195
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.6843967
Minimum-7.964984
Maximum-2.434031
Zeros0
Zeros (%)0.0%
Negative195
Negative (%)100.0%
Memory size1.7 KiB
2024-03-25T15:36:09.152078image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-7.964984
5-th percentile-7.306315
Q1-6.450096
median-5.720868
Q3-5.046192
95-th percentile-3.7336141
Maximum-2.434031
Range5.530953
Interquartile range (IQR)1.403904

Descriptive statistics

Standard deviation1.0902078
Coefficient of variation (CV)-0.19178953
Kurtosis-0.050199182
Mean-5.6843967
Median Absolute Deviation (MAD)0.71853
Skewness0.43213893
Sum-1108.4574
Variance1.188553
MonotonicityNot monotonic
2024-03-25T15:36:09.266627image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4.813031 1
 
0.5%
-3.297668 1
 
0.5%
-5.944191 1
 
0.5%
-5.594275 1
 
0.5%
-5.540351 1
 
0.5%
-5.825257 1
 
0.5%
-6.890021 1
 
0.5%
-5.892061 1
 
0.5%
-6.135296 1
 
0.5%
-6.112667 1
 
0.5%
Other values (185) 185
94.9%
ValueCountFrequency (%)
-7.964984 1
0.5%
-7.777685 1
0.5%
-7.695734 1
0.5%
-7.682587 1
0.5%
-7.517934 1
0.5%
-7.496264 1
0.5%
-7.3483 1
0.5%
-7.31951 1
0.5%
-7.314237 1
0.5%
-7.31055 1
0.5%
ValueCountFrequency (%)
-2.434031 1
0.5%
-2.839756 1
0.5%
-2.929379 1
0.5%
-2.93107 1
0.5%
-3.269487 1
0.5%
-3.297668 1
0.5%
-3.377325 1
0.5%
-3.444478 1
0.5%
-3.583722 1
0.5%
-3.700544 1
0.5%

spread2
Real number (ℝ)

HIGH CORRELATION 

Distinct194
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.22651035
Minimum0.006274
Maximum0.450493
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-25T15:36:09.389931image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.006274
5-th percentile0.0888389
Q10.1743505
median0.218885
Q30.279234
95-th percentile0.3731391
Maximum0.450493
Range0.444219
Interquartile range (IQR)0.1048835

Descriptive statistics

Standard deviation0.083405763
Coefficient of variation (CV)0.36822054
Kurtosis-0.083022893
Mean0.22651035
Median Absolute Deviation (MAD)0.048702
Skewness0.14443049
Sum44.169518
Variance0.0069565212
MonotonicityNot monotonic
2024-03-25T15:36:09.506573image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.210279 2
 
1.0%
0.266482 1
 
0.5%
0.320385 1
 
0.5%
0.12795 1
 
0.5%
0.087165 1
 
0.5%
0.115697 1
 
0.5%
0.152941 1
 
0.5%
0.195976 1
 
0.5%
0.20363 1
 
0.5%
0.217013 1
 
0.5%
Other values (184) 184
94.4%
ValueCountFrequency (%)
0.006274 1
0.5%
0.018689 1
0.5%
0.056844 1
0.5%
0.063412 1
0.5%
0.066994 1
0.5%
0.073298 1
0.5%
0.078202 1
0.5%
0.086372 1
0.5%
0.087165 1
0.5%
0.08784 1
0.5%
ValueCountFrequency (%)
0.450493 1
0.5%
0.434326 1
0.5%
0.414758 1
0.5%
0.397749 1
0.5%
0.396746 1
0.5%
0.393056 1
0.5%
0.391002 1
0.5%
0.389295 1
0.5%
0.389232 1
0.5%
0.375531 1
0.5%

D2
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct195
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3818261
Minimum1.423287
Maximum3.671155
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-25T15:36:09.621507image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1.423287
5-th percentile1.8487408
Q12.0991255
median2.361532
Q32.636456
95-th percentile3.0849315
Maximum3.671155
Range2.247868
Interquartile range (IQR)0.5373305

Descriptive statistics

Standard deviation0.38279905
Coefficient of variation (CV)0.16071662
Kurtosis0.2203341
Mean2.3818261
Median Absolute Deviation (MAD)0.271094
Skewness0.43038389
Sum464.45609
Variance0.14653511
MonotonicityNot monotonic
2024-03-25T15:36:09.738162image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.301442 1
 
0.5%
3.413649 1
 
0.5%
1.929715 1
 
0.5%
1.765957 1
 
0.5%
1.821297 1
 
0.5%
1.996146 1
 
0.5%
2.328513 1
 
0.5%
2.108873 1
 
0.5%
2.539724 1
 
0.5%
2.527742 1
 
0.5%
Other values (185) 185
94.9%
ValueCountFrequency (%)
1.423287 1
0.5%
1.512275 1
0.5%
1.544609 1
0.5%
1.743867 1
0.5%
1.765957 1
0.5%
1.777901 1
0.5%
1.821297 1
0.5%
1.827012 1
0.5%
1.831691 1
0.5%
1.840198 1
0.5%
ValueCountFrequency (%)
3.671155 1
0.5%
3.413649 1
0.5%
3.317586 1
0.5%
3.274865 1
0.5%
3.184027 1
0.5%
3.142364 1
0.5%
3.13655 1
0.5%
3.10901 1
0.5%
3.099301 1
0.5%
3.098256 1
0.5%

PPE
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct195
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.20655164
Minimum0.044539
Maximum0.527367
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-25T15:36:09.856175image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.044539
5-th percentile0.0915866
Q10.137451
median0.194052
Q30.25298
95-th percentile0.3695708
Maximum0.527367
Range0.482828
Interquartile range (IQR)0.115529

Descriptive statistics

Standard deviation0.090119322
Coefficient of variation (CV)0.43630407
Kurtosis0.52833495
Mean0.20655164
Median Absolute Deviation (MAD)0.058352
Skewness0.79749107
Sum40.27757
Variance0.0081214923
MonotonicityNot monotonic
2024-03-25T15:36:09.974746image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.284654 1
 
0.5%
0.457533 1
 
0.5%
0.181988 1
 
0.5%
0.222716 1
 
0.5%
0.214075 1
 
0.5%
0.196535 1
 
0.5%
0.112856 1
 
0.5%
0.183572 1
 
0.5%
0.169923 1
 
0.5%
0.170633 1
 
0.5%
Other values (185) 185
94.9%
ValueCountFrequency (%)
0.044539 1
0.5%
0.056141 1
0.5%
0.05761 1
0.5%
0.068501 1
0.5%
0.073581 1
0.5%
0.075587 1
0.5%
0.085569 1
0.5%
0.086398 1
0.5%
0.09147 1
0.5%
0.091546 1
0.5%
ValueCountFrequency (%)
0.527367 1
0.5%
0.457533 1
0.5%
0.454721 1
0.5%
0.444774 1
0.5%
0.430788 1
0.5%
0.418646 1
0.5%
0.410335 1
0.5%
0.378483 1
0.5%
0.377429 1
0.5%
0.370961 1
0.5%

Interactions

2024-03-25T15:35:57.040597image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:34:59.378683image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:03.826907image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:05.955548image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:07.823874image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:09.820736image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:12.065526image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:13.954280image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:16.310510image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:18.283674image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:20.217738image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:23.229485image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:26.480021image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:29.725220image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:32.656713image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:36.426038image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:39.324956image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:42.052982image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:44.841003image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:47.643061image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:51.481201image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:54.302600image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:57.168177image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:34:59.462184image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:03.901682image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:06.039095image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:07.906104image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:09.913182image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:12.157240image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:14.050908image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:16.390696image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:18.369922image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:20.313506image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:23.365786image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:26.642239image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:29.859529image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:32.797261image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:36.557934image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:39.452498image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:42.174565image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:44.979239image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:47.777292image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:51.609981image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:54.432033image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:57.288025image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:34:59.549048image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:03.987307image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:06.116162image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:07.991970image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:09.999212image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:12.236977image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:14.137830image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:16.470857image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:18.458186image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:20.407452image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:23.505597image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:26.796320image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:29.991837image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:32.936297image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:36.726534image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:39.571696image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:42.299718image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:45.104676image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:47.905051image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:51.739859image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:54.548837image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:57.420456image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:34:59.641553image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:04.072407image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:06.199477image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:08.076968image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:10.435180image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:12.339026image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:14.221864image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:16.555162image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:18.542957image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:20.500222image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:23.645964image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:26.975175image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:30.131038image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:33.072657image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:36.860987image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:39.694513image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:42.429181image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:45.236076image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:48.036763image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:51.872545image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:54.679965image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
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2024-03-25T15:35:15.163174image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:17.488795image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
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2024-03-25T15:35:21.538296image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:25.138751image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
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2024-03-25T15:35:21.684920image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:25.300810image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:28.609368image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:31.634041image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:34.598655image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:38.332296image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:41.085812image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:43.883264image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:46.693155image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:49.518145image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:53.312582image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:56.096726image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:58.946013image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:03.295817image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:05.081510image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:07.261365image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:09.157489image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:11.505418image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:13.391780image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:15.371440image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:17.673637image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:19.621109image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:21.831730image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:25.463149image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:28.749234image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:31.766919image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:34.740478image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:38.455847image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:41.209852image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:44.014385image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:46.825599image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:49.650469image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:53.466861image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:56.214740image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:59.058101image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:03.365894image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:05.155894image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:07.342145image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:09.244940image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:11.578778image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:13.473162image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:15.764673image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:17.765098image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:19.703517image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:21.965592image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:25.608151image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:28.882108image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:31.888605image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:34.866543image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:38.577490image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:41.324721image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:44.129268image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:46.942706image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:49.770147image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:53.585145image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:56.334961image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:59.165304image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:03.447769image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:05.227902image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:07.421816image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:09.321702image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:11.657904image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:13.553436image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:15.851573image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:17.857571image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:19.790182image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:22.086886image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:25.748852image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:29.020494image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:32.015270image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:34.990104image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:38.703490image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:41.444684image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:44.241340image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:47.052699image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:49.896956image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:53.704249image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:56.453414image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:59.278459image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:03.518888image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:05.304785image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:07.504611image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:09.476577image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:11.741313image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:13.636593image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:15.945993image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:17.943422image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:19.881274image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:22.211102image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:25.889115image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:29.152100image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:32.138045image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:35.129240image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:38.828067image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:41.566966image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:44.361660image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:47.171860image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:50.016477image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:53.825488image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:56.565338image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:59.396943image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:03.598606image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:05.385886image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:07.585249image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:09.560222image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:11.822897image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:13.714771image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:16.039302image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:18.024580image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:19.970994image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:22.344769image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:26.029840image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:29.292012image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:32.268175image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:36.039527image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:38.952480image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:41.688776image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:44.491157image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:47.297761image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:51.114704image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:53.943336image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:56.685911image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:59.504519image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:03.676467image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:05.464093image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:07.668803image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:09.643989image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:11.908581image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:13.794830image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:16.129031image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:18.108995image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:20.065326image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:22.483007image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:26.184036image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:29.423174image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:32.393729image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:36.167196image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:39.076900image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:41.807821image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:44.602908image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:47.416741image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:51.228067image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:54.064819image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:56.803072image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:59.617257image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:03.747692image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:05.537588image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:07.746376image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:09.727416image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:11.985056image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:13.874387image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:16.220675image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:18.193264image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:20.144788image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:22.612936image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:26.329861image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:29.557754image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:32.526021image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:36.302721image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:39.198464image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:41.925063image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:44.727595image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:47.530137image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:51.357335image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:54.181556image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-25T15:35:56.922359image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Correlations

2024-03-25T15:36:10.077448image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
D2DFAHNRJitter:DDPMDVP:APQMDVP:Fhi(Hz)MDVP:Flo(Hz)MDVP:Fo(Hz)MDVP:Jitter(%)MDVP:Jitter(Abs)MDVP:PPQMDVP:RAPMDVP:ShimmerMDVP:Shimmer(dB)NHRPPERPDEShimmer:APQ3Shimmer:APQ5Shimmer:DDAspread1spread2status
D21.000-0.195-0.4850.3800.4360.261-0.1330.2520.3740.2320.3460.3800.4220.4340.5700.4150.2010.3890.4100.3890.4240.4840.312
DFA-0.1951.0000.0100.1830.176-0.4630.122-0.4200.2090.3220.2600.1840.1720.163-0.1760.268-0.1290.1850.1870.1850.2110.2000.341
HNR-0.4850.0101.000-0.754-0.838-0.0220.2580.057-0.732-0.624-0.766-0.754-0.866-0.865-0.866-0.638-0.622-0.858-0.865-0.858-0.628-0.3740.373
Jitter:DDP0.3800.183-0.7541.0000.718-0.070-0.362-0.1970.9620.8600.9661.0000.7390.7660.8010.7100.4250.7160.7250.7160.7160.3460.245
MDVP:APQ0.4360.176-0.8380.7181.000-0.116-0.306-0.2290.7310.6910.7630.7190.9720.9680.7790.7180.5890.9380.9590.9380.7130.5100.429
MDVP:Fhi(Hz)0.261-0.463-0.022-0.070-0.1161.0000.0960.796-0.098-0.363-0.118-0.070-0.085-0.0640.060-0.259-0.223-0.092-0.059-0.092-0.256-0.1160.393
MDVP:Flo(Hz)-0.1330.1220.258-0.362-0.3060.0961.0000.324-0.407-0.408-0.375-0.362-0.255-0.282-0.458-0.353-0.349-0.206-0.221-0.206-0.355-0.1450.523
MDVP:Fo(Hz)0.252-0.4200.057-0.197-0.2290.7960.3241.000-0.270-0.566-0.298-0.197-0.164-0.165-0.106-0.431-0.374-0.145-0.130-0.145-0.426-0.2270.577
MDVP:Jitter(%)0.3740.209-0.7320.9620.731-0.098-0.407-0.2701.0000.9190.9710.9620.7290.7590.7960.7710.4780.6960.6940.6960.7740.4600.287
MDVP:Jitter(Abs)0.2320.322-0.6240.8600.691-0.363-0.408-0.5660.9191.0000.9100.8600.6640.6890.7020.8000.5350.6290.6240.6290.8030.4730.305
MDVP:PPQ0.3460.260-0.7660.9660.763-0.118-0.375-0.2980.9710.9101.0000.9660.7620.7860.7840.8000.4830.7290.7520.7290.7940.4310.313
MDVP:RAP0.3800.184-0.7541.0000.719-0.070-0.362-0.1970.9620.8600.9661.0000.7400.7660.8010.7090.4260.7160.7260.7160.7150.3460.245
MDVP:Shimmer0.4220.172-0.8660.7390.972-0.085-0.255-0.1640.7290.6640.7620.7401.0000.9930.7700.6680.5380.9890.9870.9890.6610.4440.406
MDVP:Shimmer(dB)0.4340.163-0.8650.7660.968-0.064-0.282-0.1650.7590.6890.7860.7660.9931.0000.7980.6700.5200.9760.9760.9760.6650.4500.376
NHR0.570-0.176-0.8660.8010.7790.060-0.458-0.1060.7960.7020.7840.8010.7700.7981.0000.6330.6190.7280.7400.7280.6590.4180.000
PPE0.4150.268-0.6380.7100.718-0.259-0.353-0.4310.7710.8000.8000.7090.6680.6700.6331.0000.5790.6250.6560.6250.9790.6500.624
RPDE0.201-0.129-0.6220.4250.589-0.223-0.349-0.3740.4780.5350.4830.4260.5380.5200.6190.5791.0000.5110.5100.5110.5990.4490.328
Shimmer:APQ30.3890.185-0.8580.7160.938-0.092-0.206-0.1450.6960.6290.7290.7160.9890.9760.7280.6250.5111.0000.9781.0000.6190.4000.348
Shimmer:APQ50.4100.187-0.8650.7250.959-0.059-0.221-0.1300.6940.6240.7520.7260.9870.9760.7400.6560.5100.9781.0000.9780.6450.4000.428
Shimmer:DDA0.3890.185-0.8580.7160.938-0.092-0.206-0.1450.6960.6290.7290.7160.9890.9760.7280.6250.5111.0000.9781.0000.6190.4000.348
spread10.4240.211-0.6280.7160.713-0.256-0.355-0.4260.7740.8030.7940.7150.6610.6650.6590.9790.5990.6190.6450.6191.0000.6500.599
spread20.4840.200-0.3740.3460.510-0.116-0.145-0.2270.4600.4730.4310.3460.4440.4500.4180.6500.4490.4000.4000.4000.6501.0000.453
status0.3120.3410.3730.2450.4290.3930.5230.5770.2870.3050.3130.2450.4060.3760.0000.6240.3280.3480.4280.3480.5990.4531.000

Missing values

2024-03-25T15:35:59.819807image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-25T15:36:00.250887image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

nameMDVP:Fo(Hz)MDVP:Fhi(Hz)MDVP:Flo(Hz)MDVP:Jitter(%)MDVP:Jitter(Abs)MDVP:RAPMDVP:PPQJitter:DDPMDVP:ShimmerMDVP:Shimmer(dB)Shimmer:APQ3Shimmer:APQ5MDVP:APQShimmer:DDANHRHNRstatusRPDEDFAspread1spread2D2PPE
0phon_R01_S01_1119.992157.30274.9970.007840.000070.003700.005540.011090.043740.4260.021820.031300.029710.065450.0221121.03310.4147830.815285-4.8130310.2664822.3014420.284654
1phon_R01_S01_2122.400148.650113.8190.009680.000080.004650.006960.013940.061340.6260.031340.045180.043680.094030.0192919.08510.4583590.819521-4.0751920.3355902.4868550.368674
2phon_R01_S01_3116.682131.111111.5550.010500.000090.005440.007810.016330.052330.4820.027570.038580.035900.082700.0130920.65110.4298950.825288-4.4431790.3111732.3422590.332634
3phon_R01_S01_4116.676137.871111.3660.009970.000090.005020.006980.015050.054920.5170.029240.040050.037720.087710.0135320.64410.4349690.819235-4.1175010.3341472.4055540.368975
4phon_R01_S01_5116.014141.781110.6550.012840.000110.006550.009080.019660.064250.5840.034900.048250.044650.104700.0176719.64910.4173560.823484-3.7477870.2345132.3321800.410335
5phon_R01_S01_6120.552131.162113.7870.009680.000080.004630.007500.013880.047010.4560.023280.035260.032430.069850.0122221.37810.4155640.825069-4.2428670.2991112.1875600.357775
6phon_R01_S02_1120.267137.244114.8200.003330.000030.001550.002020.004660.016080.1400.007790.009370.013510.023370.0060724.88610.5960400.764112-5.6343220.2576821.8547850.211756
7phon_R01_S02_2107.332113.840104.3150.002900.000030.001440.001820.004310.015670.1340.008290.009460.012560.024870.0034426.89210.6374200.763262-6.1676030.1837212.0646930.163755
8phon_R01_S02_395.730132.06891.7540.005510.000060.002930.003320.008800.020930.1910.010730.012770.017170.032180.0107021.81210.6155510.773587-5.4986780.3277692.3225110.231571
9phon_R01_S02_495.056120.10391.2260.005320.000060.002680.003320.008030.028380.2550.014410.017250.024440.043240.0102221.86210.5470370.798463-5.0118790.3259962.4327920.271362
nameMDVP:Fo(Hz)MDVP:Fhi(Hz)MDVP:Flo(Hz)MDVP:Jitter(%)MDVP:Jitter(Abs)MDVP:RAPMDVP:PPQJitter:DDPMDVP:ShimmerMDVP:Shimmer(dB)Shimmer:APQ3Shimmer:APQ5MDVP:APQShimmer:DDANHRHNRstatusRPDEDFAspread1spread2D2PPE
185phon_R01_S49_3116.286177.29196.9830.003140.000030.001340.001920.004030.015640.1360.006670.009900.016910.020010.0073724.19900.5985150.654331-5.5925840.1339172.0586580.214346
186phon_R01_S49_4116.556592.03086.2280.004960.000040.002540.002630.007620.016600.1540.008200.009720.014910.024600.0139723.95800.5664240.667654-6.4311190.1533102.1619360.120605
187phon_R01_S49_5116.342581.28994.2460.002670.000020.001150.001480.003450.013000.1170.006310.007890.011440.018920.0068025.02300.5284850.663884-6.3590180.1166362.1520830.138868
188phon_R01_S49_6114.563119.16786.6470.003270.000030.001460.001840.004390.011850.1060.005570.007210.010950.016720.0070324.77500.5553030.659132-6.7102190.1496941.9139900.121777
189phon_R01_S50_1201.774262.70778.2280.006940.000030.004120.003960.012350.025740.2550.014540.015820.017580.043630.0444119.36800.5084790.683761-6.9344740.1598902.3163460.112838
190phon_R01_S50_2174.188230.97894.2610.004590.000030.002630.002590.007900.040870.4050.023360.024980.027450.070080.0276419.51700.4484390.657899-6.5385860.1219522.6574760.133050
191phon_R01_S50_3209.516253.01789.4880.005640.000030.003310.002920.009940.027510.2630.016040.016570.018790.048120.0181019.14700.4316740.683244-6.1953250.1293032.7843120.168895
192phon_R01_S50_4174.688240.00574.2870.013600.000080.006240.005640.018730.023080.2560.012680.013650.016670.038040.1071517.88300.4075670.655683-6.7871970.1584532.6797720.131728
193phon_R01_S50_5198.764396.96174.9040.007400.000040.003700.003900.011090.022960.2410.012650.013210.015880.037940.0722319.02000.4512210.643956-6.7445770.2074542.1386080.123306
194phon_R01_S50_6214.289260.27777.9730.005670.000030.002950.003170.008850.018840.1900.010260.011610.013730.030780.0439821.20900.4628030.664357-5.7240560.1906672.5554770.148569